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Large-Scale Scientific Computing

12th International Conference, LSSC 2019, Sozopol, Bulgaria, June 10–14, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020
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Overview

Editors:
  1. Ivan Lirkov

    1. Bulgarian Academy of Sciences, Sofia, Bulgaria

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    You can also search for this editor in PubMed   Google Scholar

  2. Svetozar Margenov

    1. Bulgarian Academy of Sciences, Sofia, Bulgaria

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11958)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: LSSC 2019.

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Table of contents (73 papers)

  1. Front Matter

    Pages i-xv
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  6. Pore Scale Flow and Transport Simulation

    1. Front Matter

      Pages 113-113
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    2. Computational Identification of Adsorption and Desorption Parameters for Pore Scale Transport in Random Porous Media

      • Vasiliy V. Grigoriev, Oleg Iliev, Petr N. Vabishchevich
      Pages 115-122
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    3. Weighted Time-Semidiscretization Quasilinearization Method for Solving Rihards’ Equation

      • Miglena N. Koleva, Lubin G. Vulkov
      Pages 123-130
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  7. Tensors Based Algorithms and Structures in Optimization and Applications

    1. Front Matter

      Pages 131-131
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  1. Large-Scale Scientific Computing

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About this book

This book constitutes revised papers from the 12th International Conference on Large-Scale Scientific Computing, LSSC 2019, held in Sozopol, Bulgaria, in June 2019. The 70 papers presented in this volume were carefully reviewed and selected from 81 submissions. The book also contains two invited talks. The papers were organized in topical sections named as follows: control and optimization of dynamical systems; meshfree and particle methods; fractional diffusion problems: numerical methods, algorithms and applications; pore scale flow and transport simulation; tensors based algorithms and structures in optimization and applications; HPC and big data: algorithms and applications; large-scale models: numerical methods, parallel computations and applications; monte carlo algorithms: innovative applications in conjunctions with other methods; application of metaheuristics to large-scale problems; large scale machine learning: multiscale algorithms and performance guarantees; andcontributed papers. 

Editors and Affiliations

  • Bulgarian Academy of Sciences, Sofia, Bulgaria

    Ivan Lirkov, Svetozar Margenov

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